bucket_0E/svm_light

   1 # Buildsheet autogenerated by ravenadm tool -- Do not edit.
   2
   3 NAMEBASE=               svm_light
   4 VERSION=                6.02
   5 KEYWORDS=               science
   6 VARIANTS=               standard
   7 SDESC[standard]=        Implementation of Support Vector Machines (SVMs)
   8 HOMEPAGE=               http://svmlight.joachims.org/
   9 CONTACT=                nobody
  10
  11 DOWNLOAD_GROUPS=        main patch
  12 SITES[main]=            http://osmot.cs.cornell.edu/svm_light/v6.02/
  13 SITES[patch]=           https://fastapi.metacpan.org/source/KWILLIAMS/Algorithm-SVMLight-0.09/
  14 DISTFILE[1]=            svm_light.tar.gz:main
  15 DISTFILE[2]=            SVMLight.patch:patch
  16 DIST_SUBDIR=            svmlight_602
  17 DF_INDEX=               1
  18 SPKGS[standard]=        single
  19
  20 OPTIONS_AVAILABLE=      none
  21 OPTIONS_STANDARD=       none
  22
  23 USES=                   gmake
  24
  25 EXTRACT_DIRTY=          1
  26
  27 LICENSE=                CUSTOM1:single
  28 LICENSE_NAME=           CUSTOM1:"SVM-Light license"
  29 LICENSE_FILE=           CUSTOM1:{{WRKSRC}}/LICENSE.txt
  30 LICENSE_SCHEME=         solo
  31
  32 FPC_EQUIVALENT=         science/svmlight
  33
  34 PATCHFILES=             2
  35 PATCHFILES_STRIP=       -p1
  36
  37 MAKE_ARGS=              CC="{{CC}}"
  38                         LD="{{CC}}"
  39                         CFLAGS="{{CFLAGS}}"
  40                         LFLAGS="{{CFLAGS}}"
  41
  42 CFLAGS=                 -fPIC
  43                         -fcommon
  44
  45 do-install:
  46         @${MKDIR} ${STAGEDIR}${PREFIX}/include/svmlight
  47         ${INSTALL_DATA} ${WRKSRC}/*.h ${STAGEDIR}${PREFIX}/include/svmlight
  48 .for file in svm_classify svm_learn
  49         ${INSTALL_PROGRAM} ${WRKSRC}/${file} ${STAGEDIR}${PREFIX}/bin
  50 .endfor
  51         ${INSTALL_DATA} ${WRKSRC}/libsvmlight.a ${STAGEDIR}${PREFIX}/lib/
  52         ${INSTALL_LIB}  ${WRKSRC}/libsvmlight.so \
  53                 ${STAGEDIR}${PREFIX}/lib/libsvmlight.so.1
  54         ${LN} -s libsvmlight.so.1 ${STAGEDIR}${PREFIX}/lib/libsvmlight.so
  55
  56 [FILE:954:descriptions/desc.single]
  57 SVMlight is an implementation of Vapnik's Support Vector Machine
  58 [Vapnik, 1995] for the problem of pattern recognition, for the problem
  59 of regression, and for the problem of learning a ranking function. The
  60 optimization algorithms used in SVMlight are described in [Joachims,
  61 2002a ]. [Joachims, 1999a]. The algorithm has scalable memory
  62 requirements and can handle problems with many thousands of support
  63 vectors efficiently.
  64
  65 The software also provides methods for assessing the generalization
  66 performance efficiently. It includes two efficient estimation methods
  67 for both error rate and precision/recall. XiAlpha-estimates [Joachims,
  68 2002a, Joachims, 2000b] can be computed at essentially no
  69 computational expense, but they are conservatively biased. Almost
  70 unbiased estimates provides leave-one-out testing. SVMlight exploits
  71 that the results of most leave-one-outs (often more than 99%) are
  72 predetermined and need not be computed [Joachims, 2002a].
  73
  74
  75 [FILE:214:distinfo]
  76 aa48985a4c77eecd84d293de40d4731da767e49a1d2323c6198180652aa8724e        51026 svmlight_602/svm_light.tar.gz
  77 0fc08fc2321970eb95e465c06deb7f99207ef90d7b492e3e6ff9883082a99962        19490 svmlight_602/SVMLight.patch
  78
  79
  80 [FILE:139:manifests/plist.single]
  81 bin/
  82  svm_classify
  83  svm_learn
  84 include/svmlight/
  85  kernel.h
  86  svm_common.h
  87  svm_learn.h
  88 lib/
  89  libsvmlight.a
  90  libsvmlight.so
  91  libsvmlight.so.1
  92